A global sensitivity analysis and Bayesian inference framework for improving the parameter estimation and prediction of a process-based Terrestrial Ecosystem Model

Title
A global sensitivity analysis and Bayesian inference framework for improving the parameter estimation and prediction of a process-based Terrestrial Ecosystem Model
Authors
Keywords
-
Journal
JOURNAL OF GEOPHYSICAL RESEARCH
Volume 114, Issue D15, Pages -
Publisher
American Geophysical Union (AGU)
Online
2009-08-11
DOI
10.1029/2009jd011724

Ask authors/readers for more resources

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started